{"id":"W2116719857","doi":"10.1002/cjs.10120","title":"Modal simulation and visualization in finite mixture models","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidence interval; Statistics; Inference; Modal; Humanities; Mathematics; Statistical inference; Computer science; Algorithm; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004012143,0.00007373053,0.0001380467,0.0002655927,0.00004380861,0.00006220918,0.0001913029,0.00005831306,0.00001352655],"category_scores_gemma":[0.0001327837,0.00006849758,0.00001565835,0.0001708602,0.00003026555,0.0003889725,0.00001030075,0.0001224107,6.607204e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004178185,"about_ca_system_score_gemma":0.0003493844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006132526,"about_ca_topic_score_gemma":0.003108171,"domain_scores_codex":[0.9992461,0.00009251544,0.0003068154,0.00009734284,0.0001056184,0.000151593],"domain_scores_gemma":[0.9991661,0.0001040537,0.0001576672,0.0001090689,0.0001903489,0.0002727401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006348686,0.00001080117,0.001158886,0.00001358489,0.00000879477,0.0002302705,0.006770628,0.02037217,0.000007279994,0.9010776,0.0003741165,0.0699695],"study_design_scores_gemma":[0.000135122,0.0000446729,0.002258676,0.00001764344,0.000004026388,0.00001828619,0.000009016572,0.6612559,0.00001123252,0.3360516,0.0001346085,0.00005925831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001540339,0.0001468208,0.9975302,0.00004388398,0.0001655069,0.00004278311,0.00002231766,0.000002403711,0.0005058004],"genre_scores_gemma":[0.5343639,0.000008954082,0.4654804,0.0001065396,0.00001841355,1.917184e-7,9.189878e-7,0.000003928065,0.0000166956],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6408837,"threshold_uncertainty_score":0.279325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037443672395695,"score_gpt":0.2753435346034728,"score_spread":0.2249690978795158,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}